Interview based connectivity analysis of EEG in order to detect deception

Daneshi Kohan, M ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1016/j.mehy.2019.109517
  3. Publisher: Churchill Livingstone , 2020
  4. Abstract:
  5. Deception is mentioned as an expression or action which hides the truth and deception detection as a concept to uncover the truth. In this research, a connectivity analysis of Electro Encephalography study is presented regarding cognitive processes of an instructed liar/truth-teller about identity during an interview. In this survey, connectivity analysis is applied because it can provide unique information about brain activity patterns of lying and interaction among brain regions. The novelty of this paper lies in applying an open-ended questions interview protocol during EEG recording. We recruited 40 healthy participants to record EEG signal during the interview. For each subject, whole-brain functional and effective connectivity networks such as coherence, generalized partial direct coherence and directed directed transfer function, are constructed for the lie-telling and truth-telling conditions. The classification results demonstrate that lying could be differentiated from truth-telling with an accuracy of 86.25% with the leave-one-person-out method. Results show functional and effective connectivity patterns of lying for the average of all frequency bands are different in regions from that of truth-telling. The current study may shed new light on neural patterns of deception from connectivity analysis view point. © 2019 Elsevier Ltd
  6. Keywords:
  7. Classification ; Deception detection ; Electro encephalography ; Functional/effective connectivity ; Adult ; Article ; Brain function ; Brain region ; Clinical article ; Cognition ; Controlled study ; Deception ; Electroencephalogram ; Electroencephalography ; Female ; Human ; Human experiment ; Interview ; Male
  8. Source: Medical Hypotheses ; Volume 136 , 2020
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0306987719311843